FACE-Recognition-Technology1

说明：  根据：一种可识别破碎图形的特殊广义Hough变换方法 论文，在matlab上做的实验源码，有模版生成，广义哈夫变换代码(In accordance with: A broken identifiable graphics special generalized Hough transform methods papers, in matlab to do experiments on the source, there are template generation, generalized Hough transform code)

建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。(A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A combination met hod is p roposed for gender recognition of speaker s based on support vector machine and Mel2f requency cep st rum coefficient s (MFCC) for classification and feat ure ext raction respectively.)

说明：  行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)

一种快速的基于传输方程的图像修复算法。参考文献：FAST IMAGE INPAINTING BASED ON COHERENCE TRANSPORt(A fast transfer equation-based image restoration algorithm. References: FAST IMAGE INPAINTING BASED ON COHERENCE TRANSPORt)

Lee滤波器，具有很好的去噪效果，结合各种小波，可以有效去除SAR图像噪声。(Lee filter, has a good de-noising effect of combination of wavelet can effectively remove the SAR image noise.)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

实现图像匀光，实现了MASK（马斯克）和Wallis匀光算法(附带参考文献)。(Image dodging, the MASK and Wallis dodging algorithm (with references).)

基于VC++的BMP图像——24位转8位 (Turn based BMP images in VC++- 24 8)

极化SAR图像处理中的目标特征矩阵分解程序(Polarization SAR image processing target characteristic matrix decomposition process)

按照夹角余弦距离计算待测样品与样品库的样品相似度(Cosine distance calculation in accordance with the test sample and the sample database sample similarity)